OPERAS decision support system versus manual job coding: a quantitative analysis on coding time and inter-coder reliability
Compared with manual coding, using OPERAS as DSS for occupational coding improved coding time and inter-coder reliability. Subsequent comparison studies could use OPERAS' ISCO-88 and ISCO-68 classification models. Consequently, OPERAS facilitates large, harmonised job coding in large-scale occupational health research.
Authors
- Nicole Le Moual (ORCID: https://orcid.org/0000-0002-2723-5569)
- Grégoire Rey (ORCID: https://orcid.org/0000-0001-7291-9444)
- Marcel Goldberg (ORCID: https://orcid.org/0000-0002-6161-5880)
- Roel C.H. Vermeulen (ORCID: https://orcid.org/0000-0003-4082-8163)
- Corinne Pilorget (ORCID: https://orcid.org/0000-0001-5741-4640)
- Egon L. van den Broek (ORCID: https://orcid.org/0000-0002-2017-0141)
- Mathijs A. Langezaal (ORCID: https://orcid.org/0000-0001-9978-9598)
- Susan Peters (ORCID: https://orcid.org/0000-0001-5662-1971)
Institutions
- Délégation Paris 5 (FR)
- Inserm (FR)
- Utrecht University (NL)
- Université de Versailles Saint-Quentin-en-Yvelines (FR)
- Université Paris-Saclay (FR)
- Santé Publique France (FR)
- Centre de recherche en Epidémiologie et Santé des Populations (FR)
- Institut thématique Santé Publique (FR)
- France Cohortes (FR)
Publication Details
- Journal
- Occupational and Environmental Medicine
- Published
- 2025-04-01
- DOI
- https://doi.org/10.1136/oemed-2024-109823
- Primary Topic
- Context-Aware Activity Recognition Systems
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- European Commission
- Agence Nationale de la Recherche
- Agence Nationale de Sécurité Sanitaire de l’Alimentation, de l’Environnement et du Travail